Stochastic Representation and Monte Carlo Simulation for Multiterm Time-Fractional Diffusion Equation

Joint Authors

Lv, Longjin
Wang, Luna

Source

Advances in Mathematical Physics

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-07-14

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Physics

Abstract EN

In this paper, we mainly study the solution and properties of the multiterm time-fractional diffusion equation.

First, we obtained the stochastic representation for this equation, which turns to be a subordinated process.

Based on the stochastic representation, we calculated the mean square displacement (MSD) and time average mean square displacement, then proved some properties of this model, including subdiffusion, generalized Einstein relationship, and nonergodicity.

Finally, a stochastic simulation algorithm was developed for the visualization of sample path of the abnormal diffusion process.

The Monte Carlo method was also employed to show the behavior of the solution of this fractional equation.

American Psychological Association (APA)

Lv, Longjin& Wang, Luna. 2020. Stochastic Representation and Monte Carlo Simulation for Multiterm Time-Fractional Diffusion Equation. Advances in Mathematical Physics،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1127289

Modern Language Association (MLA)

Lv, Longjin& Wang, Luna. Stochastic Representation and Monte Carlo Simulation for Multiterm Time-Fractional Diffusion Equation. Advances in Mathematical Physics No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1127289

American Medical Association (AMA)

Lv, Longjin& Wang, Luna. Stochastic Representation and Monte Carlo Simulation for Multiterm Time-Fractional Diffusion Equation. Advances in Mathematical Physics. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1127289

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1127289